Syllabus (MICROBIOLOGY)

Course Type: MAJ-16

Semester: 8

Course Code: BMCBMAJ08T

Course Title: INTRODUCTION TO BIOINFORMATICS

(L-P-Tu): 5-0-1

Credit: 4

Practical/Theory: Theory

Course Objective: 1. To provide concept of the fundamentals of Bioinformatics. 2. To study the different data bases, different file formats-FASTA, Genebank and Uniprot. 3. To study the different sequence alignments, phylogeny and phylogenetic trees. 4. To perform retrieval of DNA/RNA/Protein sequences from databases.

Learning Outcome: Upon successful completion of the course the candidate will be able to- 1. Understand the basic concept of bioinformatics and introduction to biological databases: NCBI, EMBL and SwissProt 2. Know about various file formats for bio-molecular sequences-FASTA,Genebank and Uniprot, pairwise and multiple sequence alignments, different approaches for Phylogenetic Tree Construction. 3. Understand the diversity of genomes of viruses, prokaryotes and Eukaryotes, 2D-Gel Electrophoresis. 4. Perform biological database handling and database management of different biological database and its retrieval from different public domain database.

MAJOR COURSE 03

COURSE TITLE: INTRODUCTION TO BIOINFORMATICS(THEORY)

TOTAL HOURS: 60 CREDITS:4

Unit 1. Bioinformatics No of hours: 15

An Overview, Definition and History. Information Networks – Internet inBioinformatics, Evolution of Bioinformatics, Scope – Potentials of Bioinformatics, Human Genome Project.

Unit 2. Biological Databases No of hours: 15

Nucleic Acid, Genome, Protein sequence and structure, Gene expression Databases, Database of metabolic pathways,Mode of Data Storage-File formats- FASTA, Genebank and Uniprot, Data submission and retrieval from NCBI, EMBL, DDBJ, Uniprot, PDB.

UNIT 3. Sequence Alignments, Phylogeny and Phylogenetic trees No of hours: 20

Local and Global Sequence alignment, Pairwise and multiple sequence alignments, scoring an alignment, scoring matrices, PAM and BLOSUM series of matrices, Types of phylogenetic trees, Different approaches of phylogenetic tree construction- Maximum parsimony, Maximum likelihood.

UNIT 4. Genome organization and analysis No of hours: 10

Diversity of genomes- Viral, prokaryotic and eukaryotic genomes, transcriptome, proteome,2 D-Gel electrophoresis, Maldi Toff spectroscopy.

SUGGESTED READINGS

1. Bioinformatics: Methods and Applications: Genomics, Proteomics and Drug Discovery by S.C.Rastogi, P.Rastogi&N.Mendiratta.
2. A Text Book of Bioinformatics by Sharma, Munjal and Shanker.
3. Bioinformatics: A Practical Guide to The Analysis of Genes And Proteins, 3Rd Edition by BAXEVANIS ANDREAS D ET AL, Wiley India
4. Instant Notes on Bioinformatics by David.R.Westehead, J.Howard Perish